Package: kollaR Type: Package Title: Event Classification, Visualization and Analysis of Eye Tracking Data Version: 1.1.4 Authors@R: person(given = c("Johan", "Lundin"), family = "Kleberg", role = c("aut", "cre"), email = "johan.lundin.kleberg@su.se") Description: Functions for analysing eye tracking data, including event detection, visualizations and area of interest (AOI) based analyses. The package includes implementations of the IV-T, I-DT, adaptive velocity threshold, and Identification by two means clustering (I2MC) algorithms. See separate documentation for each function. The principles underlying I-VT and I-DT algorithms are described in Salvucci & Goldberg (2000) . Two-means clustering is described in Hessels et al. (2017), . The adaptive velocity threshold algorithm is described in Nyström & Holmqvist (2010),. A documentation of the 'kollaR' can be found in Kleberg et al (2026) . Cite this paper when using 'kollaR' See a demonstration in the URL. URL: https://drjohanlk.github.io/kollaR/demo.html License: GPL-3 Encoding: UTF-8 LazyData: true Imports: dplyr, ggplot2, zoo, ggforce, tidyr, ggpubr, jpeg, patchwork, shiny, base64enc, magick, scales Config/roxygen2/version: 8.0.0 NeedsCompilation: no Packaged: 2026-09-22 10:52:48 UTC; root Author: Johan Lundin Kleberg [aut, cre] Maintainer: Johan Lundin Kleberg Depends: R (>= 3.5.0) Config/pak/sysreqs: cmake libfontconfig1-dev libfreetype6-dev make libmagick++-dev gsfonts libicu-dev libjpeg-dev libuv1-dev libssl-dev zlib1g-dev Repository: https://drjohanlk.r-universe.dev Date/Publication: 2026-05-08 14:20:05 UTC RemoteUrl: https://github.com/cran/kollaR RemoteRef: HEAD RemoteSha: f3d1b082b5de540f352f6ebad0e8bdd075fc29b4